diff --git a/ivy/functional/frontends/mindspore/ops/function/nn_func.py b/ivy/functional/frontends/mindspore/ops/function/nn_func.py
index 1b730bf0b6e86..329c1808e1fa3 100644
--- a/ivy/functional/frontends/mindspore/ops/function/nn_func.py
+++ b/ivy/functional/frontends/mindspore/ops/function/nn_func.py
@@ -403,6 +403,52 @@ def log_softmax(input, axis=-1):
     return ivy.log_softmax(input)
 
 
+@with_supported_dtypes(
+    {
+        "2.0.0 and below": (
+            "int8",
+            "int16",
+            "int32",
+            "int64",
+            "uint8",
+            "uint16",
+            "uint32",
+            "uint64",
+            "float16",
+            "float32",
+            "float64",
+        )
+    },
+    "mindspore",
+)
+@to_ivy_arrays_and_back
+def max_pool3d(
+    input,
+    kernel_size,
+    stride=None,
+    padding=0,
+    dilation=1,
+    ceil_mode=False,
+    return_indices=False,
+):
+    # ToDo: Add return_indices once superset in implemented
+
+    if not stride:
+        stride = kernel_size
+
+    data_format = "NCDHW"
+
+    return ivy.max_pool3d(
+        input,
+        kernel_size,
+        stride,
+        padding,
+        data_format=data_format,
+        dilation=dilation,
+        ceil_mode=ceil_mode,
+    )
+
+
 @with_supported_dtypes(
     {
         "2.0 and below": (
diff --git a/ivy_tests/test_ivy/test_frontends/test_mindspore/test_ops/test_function/test_mindspore_nn_func.py b/ivy_tests/test_ivy/test_frontends/test_mindspore/test_ops/test_function/test_mindspore_nn_func.py
index fe825eda7098f..17919064ef663 100644
--- a/ivy_tests/test_ivy/test_frontends/test_mindspore/test_ops/test_function/test_mindspore_nn_func.py
+++ b/ivy_tests/test_ivy/test_frontends/test_mindspore/test_ops/test_function/test_mindspore_nn_func.py
@@ -665,6 +665,52 @@ def test_mindspore_log_softmax(
 #     )
 
 
+# max_pool3d
+@pytest.mark.skip("Testing pipeline not yet implemented")
+@handle_frontend_test(
+    fn_tree="mindspore.ops.function.nn_func.max_pool3d",
+    x_k_s_p=helpers.arrays_for_pooling(
+        min_dims=5,
+        max_dims=5,
+        min_side=1,
+        max_side=4,
+        only_explicit_padding=True,
+        return_dilation=True,
+        data_format="channel_first",
+    ),
+    test_with_out=st.just(False),
+    ceil_mode=st.sampled_from([True, False]),
+)
+def test_mindspore_max_pool3d(
+    x_k_s_p,
+    ceil_mode,
+    *,
+    test_flags,
+    frontend,
+    backend_fw,
+    fn_tree,
+    on_device,
+):
+    input_dtypes, x, kernel_size, stride, padding, dilation = x_k_s_p
+
+    padding = (padding[0][0], padding[1][0], padding[2][0])
+
+    helpers.test_frontend_function(
+        input_dtypes=input_dtypes,
+        backend_to_test=backend_fw,
+        test_flags=test_flags,
+        frontend=frontend,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        input=x[0],
+        kernel_size=kernel_size,
+        stride=stride,
+        padding=padding,
+        dilation=dilation,
+        ceil_mode=ceil_mode,
+    )
+
+
 # pad
 @pytest.mark.skip("Testing pipeline not yet implemented")
 @handle_frontend_test(